Development of PCCP Wire Breaks Prediction Model Using Artificial Neural Networks

Amaitik, Nasser; Amaitik, Saleh M.

doi:10.1061/40994(321)128

Cited by 16 publications

(5 citation statements)

References 2 publications

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“…The Great Man-Made River Project, a large PCCP transmission system in Libya, experienced several ruptures in one of their pipelines due to corrosion induced failure of the prestressing wires. Amaitik and Amaitik [14] discussed an Artificial Neural Network model to predict the condition and performance assessment of pipelines based on historical condition observations and inspection results. The objective was to develop a PCCP wire break prediction model to provide owners and operators of PCCP water pipelines a method of determining if and when deterioration of their pipelines may be occurring so they will be able to make informed decisions about monitoring, inspection, and rehabilitation of their pipeline network.…”

Section: Models Used For Pipeline Maintenance Identificationmentioning

confidence: 99%

Determining a Reliability Centered Maintenance (RCM) analysis model for large diameter prestressed concrete water pipelines

James Geisbush,

Samuel T. Ariaratnam

2024

Global J. Eng. Technol. Adv.

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Which maintenance task to perform on an asset is generally known but the schedule of when to perform the task may not be well defined. If the task is performed early, while it may benefit the asset, it may also be expending resources that could be better used elsewhere. If the task is not performed soon enough, the asset may fail, or the asset may require more extensive maintenance be performed. Reliability Centered Maintenance (RCM) is an analysis process used to determine the most effective maintenance strategies. RCM analysis can help an agency establish the most cost effective maintenance strategies for an asset and help establish the best schedule for implementing those strategies. The ultimate goal of an RCM is to determine the required function of an asset with the required reliability at the lowest operation and maintenance costs by identifying revealing indicators of potential failures to establish a condition based strategy; essentially, predicting failures and identifying procedures to minimize the risk of the failure. This paper reviews potential models for predicting the progression of distress of prestressed concrete pipe segments for use in an RCM analysis and proposes a regression model operators can use to forecast when to perform maintenance activities. The paper further considers the condition of the drinking water infrastructure in the United States, developing the case for evaluating predictive models to forecast when a pipeline may reach a specified limit state. The results of this study suggest that RCM analyses for large diameter water pipelines can improve reliability, reduce maintenance costs, and extend the useful life of a pipeline regardless of age or material. Further, using a regression style model with gathered data can be used to forecast when specific maintenance thresholds may be reached, prompting predictive maintenance actions.

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Section: Models Used For Pipeline Maintenance Identificationmentioning

confidence: 99%

Determining a Reliability Centered Maintenance (RCM) analysis model for large diameter prestressed concrete water pipelines

James Geisbush,

Samuel T. Ariaratnam

2024

Global J. Eng. Technol. Adv.

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“…Bubtiena et al introduced a method for establishing ANN models of pipe breaks from which rehabilitation strategies, such as proactive maintenance strategies and prioritisation of its implementation, can be determined [117]. Based on historical condition observations and inspection reports, intelligent models can forecast the condition and performance evaluation of pipelines [118].…”

Section: Application Of Artificial Intelligent (Ai) Models For Water ...mentioning

confidence: 99%

Development of an Intelligent Urban Water Network System

Joseph

Sharma

Staden

2022

Water

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Water and wastewater services have been provided through centralised systems for more than a century. The operational and management approaches of the water systems face challenges induced by population growth, urbanisation, and ageing infrastructure. Recent advancements in water system engineering include the development of intelligent water networks. These intelligent networks address management and operational challenges associated with pressure and flow variations in the water network and it reduces the time for identification of pipe bursts and leakages. Research is required into the development of intelligent water networks to ensure consistent data collection and analysis that can filter and aggregate into actionable events to reduce water leakage, leakage cost, customer disruptions, and damages. Implementation of an intelligent algorithm with an integrated Supervisory Control and Data Acquisition (SCADA) system, high-efficiency smart sensors, and flow meters, including a tracking mechanism, will significantly reduce system management and operational issues and ensure improved service delivery for the community. This paper discusses the history of water systems, traditional water supply systems, need for intelligent water network, and design/development of the intelligent water networks. A framework for the intelligent water network has also been presented in this paper.

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“…Nasser and Saleh [12] developed a prediction model for PCCP wire breaks using artificial neural networks (ANN) and applied it to real-world acoustic monitoring data. The model developed uses monitoring period, pipe age, soil resistivity, design pressure, design soil density, design soil cover, type of prestressing wire wrap, wire diameter and wire pitch to predict the number of wire breaks [12].…”

Section: Introductionmentioning

confidence: 99%

“…The model developed uses monitoring period, pipe age, soil resistivity, design pressure, design soil density, design soil cover, type of prestressing wire wrap, wire diameter and wire pitch to predict the number of wire breaks [12]. Another approach was developed by Kleiner et.…”

Section: Introductionmentioning

confidence: 99%

Effect of the location of broken wire wraps on the failure pressure of prestressed concrete cylinder pipes

Hajali

Alavinasab

Shdid

2015

Structural Concrete

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1 Introduction and backgroundPrestressed concrete cylinder pipe (PCCP) has been used for large-diameter water transmission and distribution mains in the United States as lined cylinder pipe (LCP) since 1942 and as embedded cylinder pipe (ECP) from 1952 onwards. Many classes of ECP have been standardized by the industry based on their internal fluid pressure capacity and backfill earth pressure capacity. The concrete core and prestressing wire are the main structural components, while the steel cylinder acts primarily as a water barrier. The prestressing wire wraps generate a uniform compressive force in the core that offsets the tensile stresses developed in the concrete due to the internal fluid pressure. A mortar or concrete coating surrounds the prestressing wire, embedding the wraps in an alkaline environment to protect them from external corrosive influences and physical damage such as corrosion. Breakage of prestressing wire wraps is a common occurrence in PCCP and is a result of damage due to corrosion, hydrogen embrittlement, overloading or manufacturing defects. Corrosion in immersed concrete structures can be due to earlyage cracks that leave paths for aggressive media, thus compromising the durability of the element [1], [2]. Corrosion and the subsequent breakage of an individual prestressing wire wrap reduces the strength of the pipe at that location [3]. If corrosion continues, multiple wire wrap breaks may occur in the same region, further reducing the strength of the pipe and leading to failure. Since this wire breakage is the primary cause of the structural deterioration of PCCP water mains, it is important to understand the effect of its length and location. The class of prestressing wire with its corresponding ultimate tensile strength is also an important factor for the overall strength of the pipe. Understanding the behaviour of PCCP under combined internal and external loading has gradually developed since the mid 1950s, and the evolution of the standards has been a direct result of investigations into PCCP failures [4], [5]. Although there have been significant improvements in the design and manufacture of PCCP, understanding damaged PCCP, which is intrinsic to this, is still under investigation. A study performed by Zarghami et al. [6], which compared experimental hydrostatic pressure test results with results from numerical FEM, found that the final failure mode for large-diameter PCCP was caused by increased stress in the prestressing wire wraps rather than crushing of the concrete. Liu et al.[2] presented a constitutive model for concrete hardening which considered the degree of hydration concept. The approach allowed the effects of both age and temperature on hydration to be taken into account simultaneously when modelling the early-age behaviour of underground precast concrete pipes. The study used the proposed numerical model to investigate the influences of mix design, casting scheme and curing conditions on the early-age behaviour of the pipes [2].Ojdrovic et al. [7] used finite ele...

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Development of PCCP Wire Breaks Prediction Model Using Artificial Neural Networks

Cited by 16 publications

References 2 publications

Determining a Reliability Centered Maintenance (RCM) analysis model for large diameter prestressed concrete water pipelines

Determining a Reliability Centered Maintenance (RCM) analysis model for large diameter prestressed concrete water pipelines

Development of an Intelligent Urban Water Network System

Effect of the location of broken wire wraps on the failure pressure of prestressed concrete cylinder pipes

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